Convolutional networks are the de-facto standard for analyzing spatio-temporal data such as images, videos, and 3D shapes. Whilst some of this data is naturally dense (e.g., photos), many other data sources are inherently sparse. Examples include 3D
论文“Joint 3D Proposal Generation and Object Detection from View Aggregation”的讲解PPT，非常详细，是关于3D目标检测和自动驾驶的论文，18年发表在CVPR上的。如果有研究计算机视觉方面的研究生或者博士生，这是一个很好的用在实验室讲解的PPT。
图像视觉领域的深度学习资料，手把手教你搭建自己的神经网络，让你从实践中深入浅出地学习各种经典神经网络知识。亲试不错，分享之！Deep learning for Computer Vision with
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